Triple

T21051153
Position Surface form Disambiguated ID Type / Status
Subject Jawad E518584 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Javad NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Javad | Statement: [Jawad, alternativeTransliteration, Javad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javad
Context triple: [Jawad, alternativeTransliteration, Javad]
  • A. Javad chosen
    Javad was a historical town in the South Caucasus region that served as the administrative center of the Javad Uyezd in the Russian Empire.
  • B. Reza
    Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
  • C. Parviz
    Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
  • D. Fariborz
    Fariborz is a Persian given name commonly used for men, particularly in Iran and among the Iranian diaspora.
  • E. Rūzbeh
    Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7bd96c81909cb46419ad4e1222 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.